It is vital for those who have an interest in sustainable energy investment to understand the complexities and economics of energy investment and risk modelling.
This paper provides a novel method, which goes part way to addressing a limitation in apparent standard practice.
We propose a novel method for ensembling GLMs and GBMs and transform the state-of-the-art interpretability technique – SHAP.
